Name
Abstract | ||
|---|---|---|
The method that detects the tumor's position indirectly has played an important role in dynamic radiotherapy for lung cancer because of its non-invasion property. The key problem of this approach, which has not been solved well, is to create a robust correlation model between the respiration and the tumor motion. Aiming at this problem and considering the fact that the lung tumor has similar motion law with the lung organ, we selected the patient's breathing and the fluoroscopic images of lung organ as research objects to investigate the correlation between the respiration and the lung organ motion. The optical flow algorithm is utilized to track the motion of the lung organ in the fluoroscopic images sequence automatically, and the waveform of the lung organ motion is compared with the respiratory signal. Experimental results show that there is a phase discrepancy between these two kinds of waveforms. After phase aligning, a linear relationship can be found between the respiratory signal and the lung organ motion. By using this model, the lung organ motion can be measured with a maximum error of 25% by means of respiration. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-38789-5_66 | INFORMATION TECHNOLOGY AND INTELLIGENT TRANSPORTATION SYSTEMS, VOL 1 |
Keywords | DocType | Volume |
Optical flow,Motion tracking,Respiratory detecting | Conference | 454 |
ISSN | Citations | PageRank |
2194-5357 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cihui Yang | 1 | 15 | 2.36 |
| Lei Wang | 2 | 16 | 2.38 |
| Enmin Song | 3 | 176 | 24.53 |
| Hong Liu | 4 | 96 | 18.53 |
| Shan Gai | 5 | 79 | 10.31 |
| Jiehua Zhou | 6 | 0 | 0.34 |